Data pre-processing is crucial to ensure that the data is in a suitable format for clustering. It involves steps such as data cleaning, normalization, and dimensionality reduction. Data cleaning eliminates noise, missing values, and irrelevant attributes that may adversely affect the clustering process...
Hierarchical clustering is said to be one of the very oldest traditional methods in grouping related data objects inData Science. This method is indeed unsupervised and hence can be useful in exploratory data analysis irrespective of any prior knowledge of labels or data concerning it. It first re...
In this article Overview SQL Server 2025 changes Version and edition requirements Usage scenarios Show 3 more Applies to: SQL Server A distributed availability group (AG) is a special type of availability group that spans two separate availability groups. Distributed availability groups are ...
In Windows, the failover clustering feature provides the cluster manager. In Linux, you can use Pacemaker. The other architecture is a read-scale availability group. A read scale availability group provides replicas for read-only workloads but not high availability. In a read-...
SQL Server 2017 introduced two different architectures for availability groups. Always On availability groups provide high availability, disaster recovery, and read-scale balancing. These availability groups require a cluster manager. In Windows, the failover clustering feature ...
A SQL Server failover cluster is also known as a High-availability cluster, as it provides redundancy for critical systems. The main concept behind failover clustering it to eliminate a single point of failure by including multiple network connections and shared data storage connected via SAN (Sto...
any combination of physical, virtual, cloud, and hybrid configurations. In fact, SIOS clustering solutions are unique in the breadth of operating systems, applications and infrastructure environments supported, including Windows, Linux, SAP, SQL Server, Oracle, AWS, Azure, and Google cloud platforms...
In SQL Server 2017, it's called Machine Learning Server (Standalone) and includes both R and Python. Note As installed by SQL Server Setup, a standalone server is functionally equivalent to the non-SQL-branded versions of Microsoft Machine Learning Server, supporting the same user scenarios, ...
New or Enhanced Features in SQL Server 2012 SP1 Cross-Cluster Migration of AlwaysOn Availability Groups for OS Upgrade SQL Server 2012 SP1 introduces support for cross-cluster migration of AlwaysOn Availability Groups deployments to a new Windows Server Failover Clustering (WSFC) cluster. A cross-...
Machine learning is a subset of AI. The four most common types of machine learning are supervised, unsupervised, semi-supervised, and reinforced. Popular types of machine learning algorithms include neural networks, decision trees, clustering, and random forests. Common machine learning use cases in...